Noometry

Model comparison

GPT-6.1 Sol vs Pixtral Large

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 1 benchmark with published results for both. GPT-6.1 Sol scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 21.7.
  • Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolPixtral Large
ProviderOpenAIMistral AI
Noometry Index65.632.2
Released2026-09-292024-11-01
WeightsProprietaryOpen
Context window1.05M128K
Max output128K128K
Input $ / M tokens$2$2
Output $ / M tokens$10$6
Results tracked343

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Category by category

Coding Not comparable

GPT-6.1 Sol: 63.2 (#8), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—
LMArena Coding1487—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Pixtral Large: 21.7 (#218)

BenchmarkGPT-6.1 SolPixtral Large
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
Chess Puzzles61%—
EnigmaEval—0.8%
EBR-Bench54.3%—
LMArena Hard Prompts1466—
Mystery Game Puzzles80%—
Epoch Capabilities Index166.09—

Math Not comparable

GPT-6.1 Sol: 93.7 (#1), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
LMArena Math1464—

Knowledge Not comparable

GPT-6.1 Sol: 71.8 (#4), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
GPQA Diamond95.4%—
SimpleQA Verified73.9%—
LMArena Expert1502—

Multimodal GPT-6.1 Sol leads

GPT-6.1 Sol: 52.7 (#5), Pixtral Large: 30.6 (#111)

BenchmarkGPT-6.1 SolPixtral Large
LMArena Vision12881089
Furniture Assembly80%—

Multilingual Not comparable

GPT-6.1 Sol: 54.3 (#46), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
LMArena Non-English1438—
LMArena Chinese1477—
LMArena Russian1455—

Instruction Following Not comparable

GPT-6.1 Sol: 77.0 (#29), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
LMArena Instruction Following1468—

Long Context Not comparable

GPT-6.1 Sol: 44.9 (#54), Pixtral Large: —

BenchmarkGPT-6.1 SolPixtral Large
LMArena Longer Query1465—

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Pixtral Large: 32.9 (#278)

BenchmarkGPT-6.1 SolPixtral Large
LMArena Text1447—
LMArena Creative Writing1432—
EQ-Bench Creative Writing—988
LMArena Multi-Turn1449—

Frequently asked questions

Is GPT-6.1 Sol better than Pixtral Large?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.2 on the Noometry Index.

Which is cheaper, GPT-6.1 Sol or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 128K.

How many benchmarks do GPT-6.1 Sol and Pixtral Large share?

1 benchmark has published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Pixtral Large has 3.

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